Module 4 - Practice - Data Visualization
Exercise 1:
From the datasets folder, load the "dvddata.xlsx" file as a dataframe. Then rename the following columns (new column name is in parentheses):
# of Clients (Clients)
Visits to each Client per Month (Visits)
Calls to each Client per month (Calls)
Emails to each Client per month (Emails)
# of businesses in district (Business)
Exercise 2:
Using the dataframe from the previous exercise, use the Seaborn library to create a scatterplot of the number of clients compared to the sales.
Exercise 3:
Using the dataframe in the previous exercise, use the Seaborn library to make a boxplot of the Clients, Visits, Calls, and Emails columns. (Hint: Make a dataframe that only contains those columns)
Exercise 4:
Using the dataframe from Exercise 3, use the Seaborn library to make a violin plot of sales per region.
Exercise 5:
Using the dataframe in the previous exercise, create a swarm plot of sales per region.
Exercise 6:
Using the dataframe in the previous exercise, make a correlation heatmap.
Exercise 7:
Using the dataframe in the previous exercise, make a bar chart (count plot) of the regions.
Bonus
Feel free to explore any other data visualizations using the Seaborn library.